G-bits Network (China) Market Value
| 603444 Stock | 227.25 3.86 1.67% |
| Symbol | G-bits |
G-bits Network 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to G-bits Network's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of G-bits Network.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in G-bits Network on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding G bits Network Technology or generate 0.0% return on investment in G-bits Network over 90 days. G-bits Network is related to or competes with Yinbang Clad, Smartgiant Technology, Western Metal, Chongqing Sulian, Jilin Jlu, Uxi Unicomp, and Fiberhome Telecommunicatio. More
G-bits Network Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure G-bits Network's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess G bits Network Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.9 | |||
| Information Ratio | 0.0489 | |||
| Maximum Drawdown | 11.25 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 5.59 |
G-bits Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for G-bits Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as G-bits Network's standard deviation. In reality, there are many statistical measures that can use G-bits Network historical prices to predict the future G-bits Network's volatility.| Risk Adjusted Performance | 0.0142 | |||
| Jensen Alpha | 0.0335 | |||
| Total Risk Alpha | 0.2523 | |||
| Sortino Ratio | 0.0564 | |||
| Treynor Ratio | 0.0441 |
G bits Network Backtested Returns
G bits Network holds Efficiency (Sharpe) Ratio of close to zero, which attests that the company had a close to zero % return per unit of standard deviation over the last 3 months. G bits Network exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out G-bits Network's mean deviation of 1.54, and Semi Deviation of 1.86 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of 0.24, which attests to not very significant fluctuations relative to the market. As returns on the market increase, G-bits Network's returns are expected to increase less than the market. However, during the bear market, the loss of holding G-bits Network is expected to be smaller as well. At this point, G bits Network has a negative expected return of -0.0087%. Please make sure to check out G-bits Network's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if G bits Network performance from the past will be repeated at some future date.
Auto-correlation | 0.02 |
Virtually no predictability
G bits Network Technology has virtually no predictability. Overlapping area represents the amount of predictability between G-bits Network time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of G bits Network price movement. The serial correlation of 0.02 indicates that only 2.0% of current G-bits Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 54.84 |
G bits Network lagged returns against current returns
Autocorrelation, which is G-bits Network stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting G-bits Network's stock expected returns. We can calculate the autocorrelation of G-bits Network returns to help us make a trade decision. For example, suppose you find that G-bits Network has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
G-bits Network regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If G-bits Network stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if G-bits Network stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in G-bits Network stock over time.
Current vs Lagged Prices |
| Timeline |
G-bits Network Lagged Returns
When evaluating G-bits Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of G-bits Network stock have on its future price. G-bits Network autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, G-bits Network autocorrelation shows the relationship between G-bits Network stock current value and its past values and can show if there is a momentum factor associated with investing in G bits Network Technology.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in G-bits Stock
G-bits Network financial ratios help investors to determine whether G-bits Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in G-bits with respect to the benefits of owning G-bits Network security.